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accession-icon GSE87770
R:FR and blue signaling during competition at high plant densities
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Growth in dense stands induces shade avoidance responses. Late stages of stand development lead to low red:far-red (R:FR) and low blue light conditions.

Publication Title

Integration of Phytochrome and Cryptochrome Signals Determines Plant Growth during Competition for Light.

Sample Metadata Fields

Age, Specimen part, Treatment

View Samples
accession-icon GSE45728
Expression data from low R:FR - SA crosstalk in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Low R:FR signaling through phytochromes induces shade avoidance responses, including petiole elongation. Salicylic acid-mediated defense against pathogens is inhibited under these conditions.

Publication Title

Perception of low red:far-red ratio compromises both salicylic acid- and jasmonic acid-dependent pathogen defences in Arabidopsis.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon GSE94833
cDNA microarray analysis of human keratinocytes cells of patients submitted to chemoradiotherapy and oral low level laser therapy. Pilot study
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This study investigated possible molecular changes in the oral mucosa of head and neck squamous cell carcinoma patients submitted to chemoradiotherapy with and without low-level laser therapy by cDNA microarray analysis.

Publication Title

cDNA microarray analysis of human keratinocytes cells of patients submitted to chemoradiotherapy and oral photobiomodulation therapy: pilot study.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE31551
Notch2 receptor signaling controls functional differentiation of dendritic cells in the spleen and intestine
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Dendritic cells (DCs) in tissues and lymphoid organs comprise distinct functional subsets that differentiate in situ from circulating progenitors. Tissue-specific signals that regulate DC subset differentiation are poorly understood. We report that DC-specific deletion of the Notch2 receptor caused a reduction of DC populations in the spleen. Within the splenic CD11b+ DCs, Notch signaling blockade ablated a distinct population marked by high expression of adhesion molecule Esam. The Notch-dependent Esamhi DC subset also required lymphotoxin beta receptor signaling, proliferated in situ and facilitated efficient CD4+ T cell priming. The Notch-independent Esamlo DCs expressed monocyte-related genes and showed superior cytokine responses. In addition, Notch2 deletion led to the loss of CD11b+ CD103+ DCs in the intestinal lamina propria and to the corresponding decrease of IL-17-producing CD4+ T cells in the intestine. Thus,Notch2 is a common differentiation signal for T cell-priming CD11b+ DC subsets in the spleen and intestine.

Publication Title

Notch2 receptor signaling controls functional differentiation of dendritic cells in the spleen and intestine.

Sample Metadata Fields

Specimen part

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accession-icon SRP109188
Hit-and-run epigenetic editing prevents senescence entry in primary breast cells from healthy donors [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Aberrant promoter DNA hypermethylation is a hallmark of cancer; however, whether this is sufficient to drive cellular transformation in the absence of genetic mutations is not clear. To investigate this question, we use a CRISPR/dCas9 based epigenetic editing tool, where an inactive form of Cas9 is fused to DNMT3A and its regulator DNMT3L. Using this system, we show simultaneous de novo DNA methylation of genes commonly methylated in cancer, CDKN2A, RASSF1, HIC1 and PTEN in primary myoepithelial cells isolated from healthy human breast tissue. We find that promoter methylation is maintained in this system, even in the absence of the fusion construct and results in sustained repression of CDKN2A and RASSF1 transcripts which prevents cells from entering senescence. The phenotype is associated with retuned expression of a subset of genes to levels in early passage cells; however, the outgrowing myoepithelial cells are not immortal but proliferate for 18-20 population doublings before cell cycle arrest. Finally, we show that the key driver of this phenotype is repression of CDKN2A transcript p16, but prolonged proliferation is enhanced by combined hypermethylation and repression of both CDKN2A transcripts p16 and p14. This work demonstrates that hit-and-run epigenetic events can prevent senescence entry, a potential first step in the disease process. Overall design: RNA-seq experiment with n=3 biological replicates of primary myoepithelial transfection with 26x gRNAs targeting DNA methylation as described.

Publication Title

Hit-and-run epigenetic editing prevents senescence entry in primary breast cells from healthy donors.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE84992
Expression data from human primary skeletal muscle myotubes treated with aldosterone alone or in combination
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene expression effects of glucocorticoid and mineralocorticoid receptor agonists and antagonists on normal human skeletal muscle.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE84990
Expression data from human primary skeletal muscle myotubes treated with aldosterone, spironolactone, eplerenone, mifepristone, prednisolone or vehicle
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

To define the direct gene expression changes in normal human skeletal muscle with mineralocorticoid and glucocorticoid receptor agonist and antagonist treatment.

Publication Title

Gene expression effects of glucocorticoid and mineralocorticoid receptor agonists and antagonists on normal human skeletal muscle.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE84991
Expression data from human primary skeletal muscle myotubes treated with aldosterone alone or co-incubated with aldosterone plus spironolactone, eplerenone, or mifepristone
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

To uncover whether aldosterone induces gene expression changes through mineralocorticoid or glucocorticoid receptors and determine if eplerenone and spironolactone could block aldosterone induced gene expression to the same extent

Publication Title

Gene expression effects of glucocorticoid and mineralocorticoid receptor agonists and antagonists on normal human skeletal muscle.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE8421
Gene Expression Profile in Rat Adrenal Zona Glomerulosa Cells Stimulated with Aldosterone Secretagogues
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The mineralocorticoid aldosterone mainly produced by the adrenal gland is essential for life but an abnormal excessive secretion causes severe pathological effects including hypertension and target organ injury in the heart and kidney. The aim of this study was to determine the gene regulatory network triggered by aldosterone secretagogues in a non transformed cell system. Freshly isolated rat adrenal zona glomerulosa cells were stimulated with the two main aldosterone secretagogues, angiotensin II and potassium, for two hours and subjected to whole genome expression studies using multiple biological and bioinformatics tools. Several genes were differentially expressed by Ang II (n=133) or potassium (n=216). Genes belonging to the nucleic acid binding and transcription factor activity categories were significantly enriched. A subset of the most regulated genes were confirmed by real-time RT-PCR and then their expression analyzed in time curve studies. Differentially expressed genes were grouped according to their time-response expression pattern and their promoter regions analyzed for common regulatory transcription factors binding sites. Finally, data mining with gene promoters, transcription factors and literature databases were performed to generate gene interaction networks for either Ang II or potassium. This study provides for the first time a complete study of the genes that are regulated, and the interaction between them, by aldosterone secretagogues in rat adrenal cells. Increasing our knowledge of adrenal physiology and gene regulation in non transformed cell systems would lead us to a better approach for discovery of candidate genes involved pathological conditions of the adrenal cortex.

Publication Title

Gene expression profile in rat adrenal zona glomerulosa cells stimulated with aldosterone secretagogues.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18842
Gene expression analysis of human lung cancer and control samples
  • organism-icon Homo sapiens
  • sample-icon 91 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

PURPOSE

Publication Title

Gene expression profiling reveals novel biomarkers in nonsmall cell lung cancer.

Sample Metadata Fields

Specimen part, Disease

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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